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Speaker 1: Second hour, Clay and Buck kicks off. Now we're talking

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Speaker 1: Trump cabinet picks, and I want to have a discussion

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Speaker 1: here about the national security side of things with Tulca

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Speaker 1: Gabbert and the d n I and of course as

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Speaker 1: D and I and my friend Pete Hegseth as the

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Speaker 1: likely Secretary of Defense. Very very interesting stuft they're on there.

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Speaker 1: First up, though, Team, I need you to check on

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Speaker 1: this for me because I'm seeing this online, so I'm

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Speaker 1: it's hard to verify while I'm doing the show, so

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Speaker 1: I need you to verify this for me. But there

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Speaker 1: are people including mister comfortably Smug of the What's that?

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Speaker 1: What's the podcast? God, I'm fre I want to do

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Speaker 1: their podcast camera It's called right Now. But it's a

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Speaker 1: very good podcast. But they're saying that AOC has removed

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Speaker 1: the pronouns from her on Twitter. Now that may seem

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Speaker 1: like a small thing to saw him at first glance.

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Speaker 1: Now let me tell you something. The pronouns in bio

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Speaker 1: phenomenon was one of the most bizarre, unnecessary, cult like

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Speaker 1: behaviors of the entire Biden and really during Trump as well.

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Speaker 1: But the resistance era starting around twenty sixteen when Trump

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Speaker 1: comes into office. I'm trying to even remember when did

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Speaker 1: people first start putting pronouns in bios. I don't think

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Speaker 1: I ever saw it before the Trump administration, and I

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Speaker 1: feel like it was some act of defiance from them, right,

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Speaker 1: pronouns in bio. Think about how unnecessary and how much

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Speaker 1: moral preening is involved in this decision for a lot

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Speaker 1: of people, like we know what your pronouns are because

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Speaker 1: we know if you're a man or a woman. It'd

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Speaker 1: be one thing for somebody who perhaps might inspire some

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Speaker 1: degree of confusion to put their pronouns in I don't know.

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Speaker 1: Maybe Brian Stalter needs to let us know. I'm telling

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Speaker 1: you it's e him. Maybe right, But for a lot

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Speaker 1: of people out there, I think it's fair to say

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Speaker 1: we would know without being told, And so why tell

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Speaker 1: us something that's unnecessary that's so obvious. If AOC really

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Speaker 1: did pull them out of her bio recently, it is

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Speaker 1: a marker of a retreat at a minimum on the

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Speaker 1: issue of gender identity politics that they realize doesn't mean

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Speaker 1: they're giving it up forever. Don't ever think the left

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Speaker 1: will give up anything forever. They haven't given up communism

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Speaker 1: in this country. They just got a ways to go

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Speaker 1: in their minds, but they would they would love to

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Speaker 1: have full blown authoritarian command, control, economy, the whole thing.

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Speaker 1: They would love us to be more like China if

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Speaker 1: they could get us there with them, of course in charge.

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Speaker 1: As you know, China's run by about a thousand people

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Speaker 1: who are the members of the Chinese Communist Party that

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Speaker 1: have any real standing and power. So it's a billion people,

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Speaker 1: but a thousand people make all the important decisions, and

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Speaker 1: really one person makes all the important decisions. The other

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Speaker 1: thousand just implement. That's Cheshin Pink. So that's what they

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Speaker 1: want for this country. That's how they think of themselves.

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Speaker 1: So it's not that they won't ever get there with

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Speaker 1: the pronouns and bios again, it's that there may be

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Speaker 1: a retreat because you know what, the Democrats weren't prepared

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Speaker 1: for this time around a lot of things, a lot

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Speaker 1: of aspects of Trump, but the ridicule, the ridicule of

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Speaker 1: their policies, their positions, the things that they would say.

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Speaker 1: You know, we've played it here for you on the

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Speaker 1: show many times, but there is that clip from the

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Speaker 1: from South Park, which I was an occasional viewer of

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Speaker 1: South Park, but I do appreciate it's tremendous satirical brilliance

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Speaker 1: as a show where they have the macho man Randy Savage.

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Speaker 1: Oh yeah, and he's talking about how he's trans and

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Speaker 1: he wants to compete against like girls, you know, like

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Speaker 1: women who you know, probably weigh like one hundred and

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Speaker 1: thirty or hundred and forty pounds, and here's this guy

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Speaker 1: who's a guy on clearly on a lot of steroids,

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Speaker 1: he could probably bench press four or five hundred pounds.

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Speaker 1: Was like, I just want you to respect my transition.

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Speaker 1: And it used to be a joke, and then it

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Speaker 1: became reality, right. Democrats made that reality. And there are

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Speaker 1: these videos that we even go around of guys who

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Speaker 1: are very visibly guys who were like, oh, how dare

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Speaker 1: you not? Don't call me sir, call me ma'am and

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Speaker 1: like shaking some you know, some store clerk or something,

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Speaker 1: and you're like, whoa, you know, this isn't good. Democrats

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Speaker 1: went too far with this stuff. They'll come back to

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Speaker 1: it again, because, as I've said all along, the power

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Speaker 1: to make you embrace the most obvious lies is the

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Speaker 1: ultimate power. It's the ultiate form of mind control, if

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Speaker 1: you can have if you can force the public, whether

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Speaker 1: just through sheer fear or through brainwashing, if you can

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Speaker 1: force them to look at at a you know, two

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Speaker 1: hundred and forty pounds, six foot tall guy with you

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Speaker 1: know arm you know a lot like lots of well,

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Speaker 1: I guess women can have armpit hair too, but you know,

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Speaker 1: facial hair and male musculature and male voice and Adam's

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Speaker 1: apple and be like, that is a woman. What can

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Speaker 1: you not get them to do? I mean, really think

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Speaker 1: about it that way. Where does the line get drawn?

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Speaker 1: If you have to look at so to speak, the

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Speaker 1: macho man Randy Savage would be like, that's a woman.

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Speaker 1: She's she should be able to play on men's sports,

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Speaker 1: and it's insane, insane, it is mandatory mental illness. And

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Speaker 1: so AOC stepping away from that I think is noteworthy.

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Speaker 1: It's very interesting to me if this is in fact true.

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Speaker 1: I think I think it's confirmed that she doesn't have

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Speaker 1: the pronouns in the bio I think she used to.

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Speaker 1: I can also tell you back in uh, well, back

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Speaker 1: in when when I lived in New York, I would

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Speaker 1: come across this A lot. People would send me emails stuff,

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Speaker 1: they have pronouns in their bio, and I actually found

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Speaker 1: it very helpful because I immediately knew what the Generally there

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Speaker 1: are some people who did it because of pressure. I

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Speaker 1: know this from lawyers and investment bankers that I knew

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Speaker 1: in New York City who didn't want to get in

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Speaker 1: trouble with their colleagues, so they said, fine, I'll put

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Speaker 1: the pronouns in the bio. So that's a thing I

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Speaker 1: get it. But for people generally speaking, who would do that,

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Speaker 1: it is so absurd. And yeah, looks like they're gonna

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Speaker 1: there might be a rollback from that. Now let's get

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Speaker 1: back to national security. I just thought that was really interesting.

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Speaker 1: Here is CNN's national security analyst Sean I've never heard

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Speaker 1: of this person before. I don't know anything about him,

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Speaker 1: but here he is making the case over at CNN

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Speaker 1: that Tulsi Gabbard pick of d f D and I

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Speaker 1: is really concerning play ten the role of.

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Speaker 2: The Director of National Intelligences all the other intelligence agents.

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Speaker 2: It is one of the most complex cabinet level positions

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Speaker 2: that the president has, and this needs to be someone

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Speaker 2: with a steady hand, who's experienced, who's qualified, and who

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Speaker 2: is willing to speak truth, power to give the president

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Speaker 2: news good, bad, or indifference. So when I when I

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Speaker 2: look at someone like Tulci Gabbard and I look at

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Speaker 2: the lack of qualification, the lack of experience, but more importantly,

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Speaker 2: when I think about the fact that she's someone who

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Speaker 2: is in the role not because of her understanding of intelligence,

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Speaker 2: but because of her loyalty to Donald Trump, and really

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Speaker 2: concerns me.

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Speaker 1: You know, was Eric Holder loyal to Barack Obama? Was

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Speaker 1: Merrick Garland loyal to Joe Biden and his son the

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Speaker 1: criminal and made the whole thing just kind of go

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Speaker 1: away as long as they could good on the list.

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Speaker 1: This idea that a loyalty like the loyalty test for

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Speaker 1: people that are getting appointees to work in your government

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Speaker 1: or a bad thing. It's just a historical it's childish,

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Speaker 1: it's nonsense. Of course, people are going to appoint individuals

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Speaker 1: that they think have loyalty to them and to the agenda.

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Speaker 1: If they didn't, you have If they didn't, you have

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Speaker 1: what Trump had in his first term? Were you people

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Speaker 1: who were actively trying to sabotage him from the inside.

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Speaker 1: He doesn't want sabotage again. I get it, But let

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Speaker 1: me tell you a little something about the DNI. First

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Speaker 1: of all, James Clapper was the gen It was the DNI. Okay,

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Speaker 1: remember him. Russia collusion buffoon, James Clapper, Donald Trump has

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Speaker 1: has all the hallmarks of a Russian asset. James Clapper

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Speaker 1: demands a moron. Okay, what did he accomplish his DNI?

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Speaker 1: What were the what were the decisions that Clapper made

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Speaker 1: his DNI or the policies, the agendas that he pursued

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Speaker 1: for the intelligence community that had any good outcome whatsoever.

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Speaker 1: I'll tell you I follow out security closely, even though

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Speaker 1: I'm on the outside now, no longer have a clearance,

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Speaker 1: no longer work in the IC intelligence community. And I

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Speaker 1: can't think of a damn thing other than trying to

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Speaker 1: destroy the Trump administration by lying about some Russia collusion nonsense.

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Speaker 1: I'll never forget this. Trump looked at me. I was

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Speaker 1: in the Oval office. This was like twenty eighteen. We're

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Speaker 1: doing an interview, and he looked at me. And this

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Speaker 1: is before the sort of formal part of the interview.

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Speaker 1: But he just goes, he just goes, honestly, fuck Russia collusion.

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Speaker 1: What a bleeping dumb idea, and I got exactly what

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Speaker 1: he meant. So, so you're gonna have an American adversary

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Speaker 1: Putin somehow figure out how to make you president, so

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Speaker 1: then he can put his thumb down on you for

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Speaker 1: all the presidency and probably will just you know, blow

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Speaker 1: up your president at some presidency at some point anyway,

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Speaker 1: because America is an adversary throws and the chaos, like

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Speaker 1: you know what this was. This was a moronic idea.

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Speaker 1: The only way that they could try to make it

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Speaker 1: even make any sense was that Trump and Putin were

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Speaker 1: so close that he wouldn't think that like Putin would

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Speaker 1: undermine him or or it was insane. And this was

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Speaker 1: a know how, we're talking about mandatory falsehood, the mandatory

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Speaker 1: falsehood of a macho man. Randy Savage could be a woman,

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Speaker 1: and let's see how he does in the women's shot

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Speaker 1: put right, mandatory falsehood. Celebration of lies Russia collusion for

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Speaker 1: the Democrat corporate media was a mandatory falsehood. They basically

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Speaker 1: all went along with it, and it was all crap.

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Speaker 1: They gave the I think it was the New York

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Speaker 1: Times got a Pulitzer Prize for the reporting. Got it

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Speaker 1: so a bunch of journal activist leftists give each other

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Speaker 1: prizes for propaganda campaigns that are fabrications, and they wonder

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Speaker 1: why the American people don't trust the mainstream media. Yeah,

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Speaker 1: you know why. Well you're listening to me, so of

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Speaker 1: course you know why. But Clapper as an example of

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Speaker 1: somebody who's DNI, can you even think of what the

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Speaker 1: denis R before this? I remember I I early on

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Speaker 1: in the DNA's tenure as a position didn't even exist

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Speaker 1: till nine to eleven. It's like, it's like they committed

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Speaker 1: that they created a committee to sit above the other

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Speaker 1: committees and talk about what committees they should have. It's insane. Oh,

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Speaker 1: it's going to coordinate and streamline. You want to coordinate

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Speaker 1: and streamline the intelligence community. Let me tell you something

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Speaker 1: that the doge E on the vague approach of go in,

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Speaker 1: what would just say you do here? And if you

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Speaker 1: don't get a really good answer, it's done. That position

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Speaker 1: is gone. That person finds another thing to do with themselves,

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Speaker 1: and that mission or whatever it is they're calling it

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Speaker 1: is no longer under their purview. That's the only way

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Speaker 1: you want to talk about streamlining. But it's the most

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Speaker 1: perfect government thing in the world. It was nine to eleven.

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Speaker 1: Happens we create bureaucracy atop the bureaucracy to make the

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Speaker 1: existing bureaucracies less bureaucratic, and then we wonder like, oh,

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Speaker 1: what When I was in the CIA, the DNI was

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Speaker 1: basically refereeing between NCTC and DIA and CIA just squabbling

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Speaker 1: like little children.

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Speaker 3: Like oh, like who's going to be in charge of

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Speaker 3: the PDB this day or who's going to be the

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Speaker 3: one that has primacy on this issue. It was a

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Speaker 3: man and this was during wars. We were fighting wars.

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Speaker 1: But this isn't like me reporting on something I read,

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Speaker 1: I saw it. I was in these meetings. I would

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Speaker 1: hear what was going on. I'm like, you gotta be

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Speaker 1: kidding me. Sho GIA. They need to coordinate with us

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Speaker 1: more on this thing. And the see is are all

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Speaker 1: the NCTC or this where all the all the dumb

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Speaker 1: people go to NCTC. They're like, wait, aren't they just

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Speaker 1: like people that are from other parts of the intelligence community.

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Speaker 1: It was just children squabbling and we want to talk

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Speaker 1: about this. What is the great success it took us.

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Speaker 1: I can't do the math the top of my head.

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Speaker 1: It took us over a decade to find bin Laden.

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Speaker 1: Great work team, Yeah, we eventually got them. It took

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Speaker 1: us ten years plus, biggest man hunt in the world.

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Speaker 1: Wasn't really even hiding that much if you think about it.

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Speaker 1: But that's a whole other thing. Well, what is the

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Speaker 1: great success of the intelligence community? You know, preventing the

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Speaker 1: Russian invasion of Ukraine? Whoopsie, notifying the Israelis in advance

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Speaker 1: so they could take action to stop October seventh. Didn't

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Speaker 1: get that one done? What is our great you know,

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Speaker 1: a rock WMD. I could see here all day and

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Speaker 1: they'll say, oh, well our this is the line from

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Speaker 1: the intelligence community. I can tell you, Oh, our success

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Speaker 1: is our secret, but our failures are public. That's what

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Speaker 1: they always say. Isn't that the greatest bureaucrat self justification

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Speaker 1: you've ever heard? All the cool stuff we do you

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Speaker 1: don't know about, and all the dumb stuff we do

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Speaker 1: you do. Let me tell you. I wish, I wish

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Speaker 1: that were true. It's not. It's not true. And this

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Speaker 1: is why when they say Tulsi Gabbert's not qualified, I

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Speaker 1: sit here and I say, based on what this is

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Speaker 1: a woman who's been the United States, has been a

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Speaker 1: member of the United States military for decades who has

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Speaker 1: come to the realization of the ideological threat that the

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Speaker 1: left pos is to America. Who doesn't want us tied

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Speaker 1: up in wars, doesn't want our children and our grandchildren

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Speaker 1: to be fighting wars that we don't need to be fighting,

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Speaker 1: and wants to keep us out of it. I know

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Speaker 1: they're trying to slander her now, say oh, she's a

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Speaker 1: Syrian puppet, a Russian puppet, and all this stuff. It's

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Speaker 1: interesting that people who call others puppets in the foreign

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Speaker 1: policy realm, almost always you find are the ones who

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Speaker 1: are cheerleading for every war, for every war, and so

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Speaker 1: many of you serve. Did I know that? And we

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Speaker 1: talked about this on Veterans Day on Monday, when we

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Speaker 1: celebrate our veterans and we thank our veterans. So many

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Speaker 1: of you served. And it's interesting. The more, in my experience,

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Speaker 1: the more somebody had bullets flying over their head, whether

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Speaker 1: in Iraq or Afghanistan or somewhere else, the more likely

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Speaker 1: they are to support someone like a Tulsa Gabbard. The

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Speaker 1: more likely they are to say, yeah, we want somebody

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Speaker 1: who has our interests veterans, apple active duty American people,

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Speaker 1: and it isn't so concerned with what the Council on

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Speaker 1: Foreign Relations un types really think about. I interned into

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Speaker 1: the Council on Foreig Relations, by the way, a long time.

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Speaker 1: You know. Let me tell you a lot of silly

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Speaker 1: stuff going on there too. It's a whole other common

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Speaker 1: So Tulci Gabbert, they're attacking her on this, and I

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Speaker 1: just think these are people who have no ground to

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Speaker 1: be attacking anybody based upon who they put forward. And

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Speaker 1: then the biggest, the biggest example of all for this

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Speaker 1: is Joe Biden himself. People who voted for Biden want

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Speaker 1: to tell Donald Trump who he's allowed to have in

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Speaker 1: his cabinet. You voted for a dementia pation Democrats and

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Speaker 1: told us that you couldn't tell. So no, I don't

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Speaker 1: think we really have to take your opinion to heart here.

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Speaker 1: I think I think we get to see how the

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Speaker 1: results turn out first before we get to pay attention

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Speaker 1: to your whining. I want to talk about taunt the

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Speaker 1: towers here. Police sergeant Christopher Fitzgerald worked with the Temple

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Speaker 1: University Police Department. He sustained fatal gunshot wounds while attempting

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Speaker 1: to arrest a robbery suspect. Thanks to Karen, friends like you,

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Speaker 1: the Tunnel the Towers Foundation was able to provide a

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Speaker 1: mortgage free home to his wife, Marissa and their five

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Speaker 1: children in honor of their forever hero. Christopher's love for

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Speaker 1: law enforcement was inspired by his parents, who both served

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Speaker 1: as Philadelphia police officers. Prior to his premature passing, Christopher

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Speaker 1: was nominated for Temple University Police Department Officer of the Year. Sadly,

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Speaker 1: it's an award he would receive posthumously. He will be

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Speaker 1: remembered by many for his passion and determination to make

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Speaker 1: his own name in life while improving conditions for residents

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Speaker 1: in the surrounding community and Temple University stakeholders. It's heroes

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Speaker 1: like Christopher who protect and serve our communities and our nation.

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Speaker 1: Help heroes like Christopher and their families donate eleven dollars

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Speaker 1: a month to Tunnel the Towers at T two t

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Speaker 1: dot org. That's t the number two t dot Org.

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Speaker 4: Stories are freedom stories of America, Inspirational stories that you

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Speaker 4: unite us.

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Speaker 1: All each day.

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Speaker 4: Spend time with Clay and find them on the free

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Speaker 4: iHeartRadio app or wherever you get your podcasts.

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Speaker 1: All right, welcome back in here to Clay and Buck.

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Speaker 1: I'm going to take a bunch of your calls here

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Speaker 1: on the Big three picks so far. I don't mean

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Speaker 1: Big three necessarily in terms of importance or anything. I

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Speaker 1: mean in terms of media freakout level. The Big three

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Speaker 1: are by far number one Matt Gates and then I

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Speaker 1: think Pete Hexeth is in the second role for Democrat

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Speaker 1: media heads exploding, and then Tulsi Gabbard comes in at

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Speaker 1: a third there. As I was saying before, I mean DN,

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Speaker 1: I D and I CIA director. You look at these jobs,

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Speaker 1: these roles, and they're you know, they're managerial. They can

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Speaker 1: be very much in almost a figurehead politician kind of capacity.

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Speaker 1: These are vast institutions with so many people who work

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Speaker 1: in them, and they have a million ways to avoid reform.

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Speaker 1: And that's my biggest concern. Isn't that Tulsi and Pete

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Speaker 1: aren't up for this, or Matt's not up for it

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Speaker 1: if he gets through. It's that these machines just they

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Speaker 1: exist to exist. That is the definition of these big

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Speaker 1: federal bureaucracies. The online identity theft is a crime you

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Speaker 1: don't see coming, and it's also a crime it's hard

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Speaker 1: to solve. Cyber Hackers are as good at data breach

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Speaker 1: as stealing customer data and then selling it on the

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Speaker 1: dark web to the highest bidder. That's one way that

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Speaker 1: cybercrime happens. It's important to understand how cybercrime and identity

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Speaker 1: and Buck. At that time of the show where when

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Speaker 1: I'm solid Clays just on He's taking a vacation. Day

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Speaker 1: to day. He's Clay, so it's vacation. He's probably still

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Speaker 1: Clay Travis. Now let's get into some of our vip emails.

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Speaker 1: Vip emails we have Kumar writes in Matt Gates, who

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Speaker 1: is nominated for Attorney General needs to ask for a

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Speaker 1: public hearing for Senate confirmation and let us find out

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Speaker 1: what he has to say and what people are afraid

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Speaker 1: of having him say. I look at if we get

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Speaker 1: to this stage, I'm sure you're gonna find out a

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Speaker 1: lot about what the objections are they have to Matt Gates,

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Speaker 1: and what the advantages or you know, what the benefits

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Speaker 1: would be, and he'll be able to make his case

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Speaker 1: to all of you. And I think that that's something

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Speaker 1: that we should all. You know, the man deserves the

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Speaker 1: chance to make his case to the public about why

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Speaker 1: he would be good at this. But you know, for me, also,

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Speaker 1: first of all, the the part of the problem here

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Speaker 1: with the whining about any Trump pick is that the

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Speaker 1: machine has shown us just how inept, how how incompetent,

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Speaker 1: how dishonest, how tyrannical it can already be. You know,

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Speaker 1: you're gonna lecture us about Trump's picks before they've even

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Speaker 1: done anything. Results are results. If I don't like results,

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Speaker 1: if I see things going on with anyone in the

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Speaker 1: Trump cabinet that I think is not helping the mission,

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Speaker 1: not helping the country, I'm gonna say so. But Trump

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Speaker 1: gets to pick the team that he wants to have

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Speaker 1: after winning this election, and after all that he's been

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Speaker 1: through and all the stuff he's overcome. You know, I'm

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Speaker 1: not second guessing the guy on how he assembles the

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Speaker 1: team around him. I want to see results. He says,

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Speaker 1: this will get us results. Trump is in the position

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Speaker 1: to make those calls, right. So that's one thing. But honestly,

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Speaker 1: I mentioned before the people who are complaining about this, like,

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Speaker 1: oh my gosh, pulci Garbard, like, what do they think?

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Speaker 1: Do they even know who the last DNI was? Under buddies?

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Speaker 1: Then't even know the DNI is right now? These people

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Speaker 1: are so funny, all these Beltway insiders. Oh, it's so

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Speaker 1: important that we have somebody who who wants been drinking

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Speaker 1: coffee and writing reports for twenty years. I was a

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Speaker 1: CIA analyst. I saw it all okay in Langley. I

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Speaker 1: know exactly how this stuff goes. It's a lot of

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Speaker 1: people sitting around like, oh, I don't know it's gonna

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Speaker 1: change this sentence. I mean, it's just and I hope

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Speaker 1: that maybe the deputy Assistant secretary for whatever spends more

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Speaker 1: than thirty seconds reading this. Why do you think I

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Speaker 1: left the CIA. I saw what was going on there.

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Speaker 1: I got to brief the president a couple of times,

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Speaker 1: which for a young CIA analyst was the absolute has

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Speaker 1: like the pinnacle of your career is to run a

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Speaker 1: deep dive. It wasn't just like I gave him piece

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Speaker 1: of paper, run a deep dive briefing for thirty minutes

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Speaker 1: on a specific area that I had knowledge on, particular

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Speaker 1: knowledge unks. I'd just come back from a rock. Actually

428
00:23:23,400 --> 00:23:25,240
Speaker 1: in both cases, I just come back from I rock.

429
00:23:27,160 --> 00:23:29,479
Speaker 1: And you know, you see when you see what's going on,

430
00:23:29,520 --> 00:23:33,160
Speaker 1: all these objections, but then you get to the other

431
00:23:33,200 --> 00:23:35,879
Speaker 1: side of you go. They made Pete bouda judge transportation

432
00:23:36,000 --> 00:23:40,480
Speaker 1: secretary based on what based on the fact that the

433
00:23:40,520 --> 00:23:43,359
Speaker 1: guy says he likes trains and is the mayor of

434
00:23:43,440 --> 00:23:46,600
Speaker 1: South Bend. I mean, well, you know what's next. We're

435
00:23:46,600 --> 00:23:50,240
Speaker 1: gonna make the chief dog catcher of Secaucus, New Jersey,

436
00:23:50,320 --> 00:23:54,520
Speaker 1: the Secretary of State. I mean, it's absurd, it's absurd.

437
00:23:54,880 --> 00:23:57,280
Speaker 1: Jennifer grant Holme I sat on a Bill Maher panel

438
00:23:57,320 --> 00:24:00,359
Speaker 1: with her years ago. The woman is not intelligent. Okay,

439
00:24:00,400 --> 00:24:02,480
Speaker 1: she's not a bright person. I don't like to be mean,

440
00:24:02,560 --> 00:24:05,160
Speaker 1: you know me. If anything were probably too nice. Jennifer

441
00:24:05,160 --> 00:24:08,000
Speaker 1: Grant Home not smart at all. I don't mean not

442
00:24:08,040 --> 00:24:10,520
Speaker 1: smart for a cabinet level official, I mean a dumb

443
00:24:10,600 --> 00:24:14,560
Speaker 1: dumb and they made her like an energy secretary. What

444
00:24:14,600 --> 00:24:17,800
Speaker 1: does she know about energy? The whole thing like, look

445
00:24:17,800 --> 00:24:19,560
Speaker 1: at who these people put in these jobs and now

446
00:24:19,720 --> 00:24:22,800
Speaker 1: on the Washington Post or democracy is under assault because

447
00:24:22,840 --> 00:24:25,520
Speaker 1: look they're gonna have Pete hegk'sh at this dj or

448
00:24:25,640 --> 00:24:30,440
Speaker 1: as a DoD Rather give me a break. Honestly, the

449
00:24:30,440 --> 00:24:32,840
Speaker 1: more they cry, the better I feel about this stuff.

450
00:24:33,359 --> 00:24:35,600
Speaker 1: The better I think it's gonna go, the more they

451
00:24:35,640 --> 00:24:37,320
Speaker 1: want to Look what Look how much they've cried about Trump.

452
00:24:37,359 --> 00:24:40,320
Speaker 1: The end of democracy? Is democracy over? Is the country over?

453
00:24:40,960 --> 00:24:43,240
Speaker 1: They are horrible things. I know he's not president yet,

454
00:24:43,280 --> 00:24:46,119
Speaker 1: but you know that horrible things happen when he's president

455
00:24:46,119 --> 00:24:48,160
Speaker 1: for four years. Does anyone really think that Trump's gonna

456
00:24:48,160 --> 00:24:53,840
Speaker 1: take office in uh January? And look, I will tell

457
00:24:53,840 --> 00:24:56,840
Speaker 1: you I'm hearing from sources, very well placed and high

458
00:24:56,920 --> 00:25:02,400
Speaker 1: up sources inside the Trump transition, because I do talk

459
00:25:02,440 --> 00:25:07,240
Speaker 1: to them that the deportation thing is gonna is gonna

460
00:25:07,240 --> 00:25:13,000
Speaker 1: be real. They're they're actually gonna enforce the law. Good, good,

461
00:25:13,640 --> 00:25:16,840
Speaker 1: But all this other whining and nonsense about these people

462
00:25:17,280 --> 00:25:19,200
Speaker 1: you know, and I'll tell you this, even the people

463
00:25:19,200 --> 00:25:25,719
Speaker 1: who Yeah, the current DNI is Avril Haynes, Now I

464
00:25:25,760 --> 00:25:32,000
Speaker 1: remember that. But yeah, Avril Haynes done an amazing job

465
00:25:32,960 --> 00:25:36,879
Speaker 1: in the job that nobody knew that she had. Wow,

466
00:25:37,040 --> 00:25:41,320
Speaker 1: you know what I mean, it's absurd. I think the

467
00:25:41,359 --> 00:25:43,280
Speaker 1: whole thing is not. So let's take Jim and Tennessee,

468
00:25:43,520 --> 00:25:49,080
Speaker 1: former Air Force base engineer talking about government waste. Tell me, Jim,

469
00:25:49,119 --> 00:25:50,760
Speaker 1: what do you got for us?

470
00:25:52,040 --> 00:25:54,840
Speaker 5: Hey, Bud, it's really great to be on your show.

471
00:25:55,600 --> 00:25:58,439
Speaker 5: Back in two thousand and four, can you hear me? Okay?

472
00:25:59,000 --> 00:26:01,200
Speaker 1: Yeah, yeah, we can all hear Okay.

473
00:26:01,240 --> 00:26:04,399
Speaker 5: Back in two thousand I was if engineer of the

474
00:26:04,400 --> 00:26:09,399
Speaker 5: Evolved Expendable Launch Vehicle program and we launched payloads for

475
00:26:09,480 --> 00:26:14,879
Speaker 5: your buddies over at NRO National Reconnaissance Office. We had

476
00:26:14,920 --> 00:26:19,119
Speaker 5: a launch insertion failure where the rocket didn't make the

477
00:26:19,240 --> 00:26:22,400
Speaker 5: altitude that needed to make. So we had a big

478
00:26:22,440 --> 00:26:25,920
Speaker 5: meeting with all the scientists and engineers and were going

479
00:26:25,960 --> 00:26:30,000
Speaker 5: over the post launch data and it was clear to

480
00:26:30,080 --> 00:26:33,040
Speaker 5: me by just looking at the profile that the engine

481
00:26:33,080 --> 00:26:36,399
Speaker 5: cavitated just like a speedboat engine. Well, when it just

482
00:26:36,480 --> 00:26:39,760
Speaker 5: pulls bubbles, pulls air, it pulls a vacuum. So it

483
00:26:39,800 --> 00:26:44,840
Speaker 5: was clear to me that it cavitated. So the civilian

484
00:26:45,400 --> 00:26:48,840
Speaker 5: engineers and scientists said the process they had to use

485
00:26:49,240 --> 00:26:54,320
Speaker 5: they had to use an exhaustive all cause analysis to

486
00:26:54,800 --> 00:26:58,560
Speaker 5: look at every possible failure mode and determine what went wrong.

487
00:26:58,600 --> 00:27:01,119
Speaker 5: And I said, well, it's clear to me that the

488
00:27:01,160 --> 00:27:05,040
Speaker 5: engine pulled the vacuum and cavitated. Why can't you look

489
00:27:05,080 --> 00:27:08,679
Speaker 5: at the most likely cause first? So, oh no, we

490
00:27:08,760 --> 00:27:12,479
Speaker 5: can't do that. We're not allowed. Our process is okay,

491
00:27:12,520 --> 00:27:15,640
Speaker 5: So they had to follow their ingrain process. It took

492
00:27:15,720 --> 00:27:20,639
Speaker 5: six weeks, it cost fifty million dollars, and it determined

493
00:27:20,880 --> 00:27:25,439
Speaker 5: that the engine cavitated. So every bureaucracy in the in

494
00:27:25,480 --> 00:27:30,600
Speaker 5: the federal government has built in processes that that guarantees

495
00:27:30,640 --> 00:27:35,960
Speaker 5: their continued work at no value added to the taxpayer.

496
00:27:36,400 --> 00:27:38,560
Speaker 1: Oh well, thank thank you so much for that. Totally

497
00:27:38,680 --> 00:27:41,880
Speaker 1: totally uh correct, Jim, and appreciate you sharing that story.

498
00:27:41,920 --> 00:27:44,720
Speaker 1: I'll tell you one of the things that that Hegseth

499
00:27:44,760 --> 00:27:47,600
Speaker 1: I think is going to get rid of in DoD Land,

500
00:27:47,680 --> 00:27:50,080
Speaker 1: and maybe it's Elon and Vivek who also have a

501
00:27:50,080 --> 00:27:51,639
Speaker 1: hand of this. You know a lot of these people

502
00:27:51,680 --> 00:27:53,639
Speaker 1: also all know each other, They respect each other, They

503
00:27:53,680 --> 00:27:56,240
Speaker 1: have each other's phone numbers. That the level of connectivity

504
00:27:56,600 --> 00:27:59,040
Speaker 1: that this top circle in Trump world is going to

505
00:27:59,080 --> 00:28:03,040
Speaker 1: have with each other far exceeds, honestly, in previous administrations.

506
00:28:03,080 --> 00:28:04,920
Speaker 1: There's a lot of nerds who don't know you don't

507
00:28:04,920 --> 00:28:07,159
Speaker 1: even know each other. And the secretary of such and

508
00:28:07,200 --> 00:28:09,000
Speaker 1: such doesn't know the secretary of such and such, And

509
00:28:09,119 --> 00:28:11,760
Speaker 1: these guys all know each other and they're all operating.

510
00:28:11,800 --> 00:28:14,159
Speaker 1: And you know, Pete knows Tulsi, and Tulsi knows Viveake

511
00:28:14,240 --> 00:28:18,320
Speaker 1: and Viveke no obviously with Elon, and Elon knows you

512
00:28:18,320 --> 00:28:20,200
Speaker 1: know what I mean, knows Gates. I mean, these guys

513
00:28:20,240 --> 00:28:23,280
Speaker 1: all know each other, and they all they already have

514
00:28:23,359 --> 00:28:25,960
Speaker 1: working relationships. So this is gonna move, I think, much faster.

515
00:28:26,280 --> 00:28:28,320
Speaker 1: And one of the funnier stories that I know, Elon

516
00:28:28,400 --> 00:28:31,040
Speaker 1: told these amazing stories about government fraud, waste and abuse

517
00:28:31,440 --> 00:28:35,639
Speaker 1: where for his rocket launches. They they you know, this

518
00:28:35,760 --> 00:28:37,440
Speaker 1: just came out recently. We played some of this for

519
00:28:37,520 --> 00:28:40,320
Speaker 1: you on the show, but they made them see if

520
00:28:40,840 --> 00:28:43,640
Speaker 1: I think it was dolphin mating habits would be affected

521
00:28:44,080 --> 00:28:46,080
Speaker 1: by the noise of the rockets, So they had to

522
00:28:46,120 --> 00:28:48,240
Speaker 1: make sure that dolphins still wanted to have sex even

523
00:28:48,240 --> 00:28:50,360
Speaker 1: though like rockets were going off in the distance or

524
00:28:50,400 --> 00:28:55,240
Speaker 1: something turned out. Who wants to guess, dolphins still wanted

525
00:28:55,280 --> 00:28:58,680
Speaker 1: to get it on. You know, they still wanted to

526
00:28:58,680 --> 00:29:01,480
Speaker 1: get it on. I remember when I went out to

527
00:29:01,560 --> 00:29:06,440
Speaker 1: the when I was a young CIA officer. Uh oh,

528
00:29:06,520 --> 00:29:08,040
Speaker 1: and they didn't want it to hit a whale. That's right.

529
00:29:08,080 --> 00:29:09,760
Speaker 1: When it was landing, it was gonna it was gonna

530
00:29:09,800 --> 00:29:11,960
Speaker 1: come down on the ocean. What if the rocket lands

531
00:29:11,960 --> 00:29:14,240
Speaker 1: the middle of the ocean, it hits a whale. Now

532
00:29:14,280 --> 00:29:17,840
Speaker 1: he've just killed a whale. Unacceptable. I have to make sure.

533
00:29:18,080 --> 00:29:19,800
Speaker 1: And Elon, I think I got the right attitude is like, look,

534
00:29:19,800 --> 00:29:21,479
Speaker 1: if the whale gets hit, it's a big ocean. If

535
00:29:21,480 --> 00:29:23,200
Speaker 1: the whale gets hit by a rocket coming down, like,

536
00:29:23,200 --> 00:29:24,680
Speaker 1: it's probably the whales day, you know what I mean.

537
00:29:24,760 --> 00:29:27,200
Speaker 1: Let's be honest. You know, maybe he was a mean

538
00:29:27,240 --> 00:29:32,520
Speaker 1: whale like Monstro in Pinocchio. Remember that Monstro that scared

539
00:29:32,520 --> 00:29:34,200
Speaker 1: me when I was a kid. Monstro was scary. If

540
00:29:34,240 --> 00:29:37,400
Speaker 1: you have that's a great old Disney, the old Disney cartoons.

541
00:29:37,440 --> 00:29:42,040
Speaker 1: So great. That's a great old Disney cartoon. They're a Pinocchio. Oh,

542
00:29:42,360 --> 00:29:48,360
Speaker 1: not a bite until we find Pinocchio, remember Giuseppi. It's great.

543
00:29:49,440 --> 00:29:51,360
Speaker 1: The cobbler or whatever. Not a cobbler. What is he's

544
00:29:51,360 --> 00:29:53,680
Speaker 1: a wood woodwork or whatever he is? Cobbler would work

545
00:29:53,800 --> 00:29:56,520
Speaker 1: or something like that. I can't believe I'm talking about Pinocchio. Okay,

546
00:29:56,520 --> 00:29:59,680
Speaker 1: here we go. National Training Center. What does Trump say?

547
00:30:00,040 --> 00:30:02,960
Speaker 1: I'm weaving. I'm weaving. Anytime I start to go off

548
00:30:03,000 --> 00:30:05,360
Speaker 1: track now, especially on solo days, I'm just gonna be

549
00:30:05,440 --> 00:30:09,560
Speaker 1: like I'm doing the Trump I'm weaving, I'm weaving. I

550
00:30:09,600 --> 00:30:13,600
Speaker 1: went to the National Training Center in at Ford, Irwin.

551
00:30:13,640 --> 00:30:15,160
Speaker 1: I think it's the same thing. I always forget this,

552
00:30:15,360 --> 00:30:18,360
Speaker 1: like the same place, Yeah, Ford, Irwin, California, just to

553
00:30:18,440 --> 00:30:21,640
Speaker 1: observe some of the counterinsurgency training that was I was

554
00:30:21,640 --> 00:30:24,040
Speaker 1: out there, like I don't know, a week or two something,

555
00:30:24,120 --> 00:30:27,920
Speaker 1: maybe a week ten days, observing counterinsurgency training out there,

556
00:30:28,000 --> 00:30:29,680
Speaker 1: so that I when I would go to Rock myself,

557
00:30:29,720 --> 00:30:32,280
Speaker 1: I had a better sense of the training that outgoing

558
00:30:32,360 --> 00:30:33,080
Speaker 1: units were getting.

559
00:30:33,080 --> 00:30:33,200
Speaker 5: There.

560
00:30:33,280 --> 00:30:34,840
Speaker 1: It was pretty amazing. They had like these you know,

561
00:30:34,960 --> 00:30:38,920
Speaker 1: villages with people speaking like fake villages, like kind of

562
00:30:38,960 --> 00:30:40,920
Speaker 1: up a Temkin village but with a lot of shish

563
00:30:40,960 --> 00:30:43,600
Speaker 1: kebab and people speaking Arabic and stuff, and they were

564
00:30:44,600 --> 00:30:47,240
Speaker 1: and I remember I was out there and the base commander,

565
00:30:47,240 --> 00:30:50,040
Speaker 1: I don't remember his name, and I don't remember his

566
00:30:50,040 --> 00:30:52,280
Speaker 1: his rank or you know, it's probably a general or something,

567
00:30:52,400 --> 00:30:55,320
Speaker 1: colonel general. But the base commander gave a presentation to

568
00:30:55,320 --> 00:30:56,760
Speaker 1: a few of us, A few of us from CIA

569
00:30:56,760 --> 00:30:58,840
Speaker 1: were just there to check out what's going on. And

570
00:30:59,720 --> 00:31:01,880
Speaker 1: the thing that I really remembered was he talked about

571
00:31:02,280 --> 00:31:03,880
Speaker 1: and some people who have been out there probably even

572
00:31:03,880 --> 00:31:05,680
Speaker 1: if you have any details on this that I'm leaving out,

573
00:31:05,760 --> 00:31:07,880
Speaker 1: let me know. This is going back now fifteen years

574
00:31:08,000 --> 00:31:10,640
Speaker 1: or something. It was a long time ago. But they

575
00:31:10,680 --> 00:31:14,200
Speaker 1: would have these, you know, military vehicle convoys. Ford Irwin

576
00:31:14,280 --> 00:31:17,239
Speaker 1: is in the middle of nowhere, all right. If you're wondering, like,

577
00:31:17,800 --> 00:31:20,360
Speaker 1: what would the world look like in a Mad Max apocalypse,

578
00:31:20,400 --> 00:31:24,920
Speaker 1: it's the area around Forder. It's just just nothing, desert,

579
00:31:25,160 --> 00:31:27,480
Speaker 1: some meth labs here and there. That's it, right, that's

580
00:31:27,520 --> 00:31:31,120
Speaker 1: that area. And they had this problem because there was

581
00:31:31,120 --> 00:31:35,080
Speaker 1: this there was I think a desert tortoise that would

582
00:31:35,120 --> 00:31:37,440
Speaker 1: on these the military vehicles would come by on this

583
00:31:37,480 --> 00:31:40,200
Speaker 1: one main highway into the base, and the desert tortoise

584
00:31:40,240 --> 00:31:43,760
Speaker 1: would get you know, squished. You know, especially if a

585
00:31:43,840 --> 00:31:46,160
Speaker 1: tortoise gets hit by like an m rap or something,

586
00:31:46,160 --> 00:31:47,960
Speaker 1: that's gonna that's gonna make that's gonna leave a mark,

587
00:31:48,040 --> 00:31:51,840
Speaker 1: even with this little shell. So the tortoises were getting squashed.

588
00:31:52,640 --> 00:31:55,120
Speaker 1: And so then they said, well what is and the

589
00:31:55,160 --> 00:31:58,240
Speaker 1: environment remember this is California's the environmentalists all freak out.

590
00:31:58,760 --> 00:32:01,360
Speaker 1: The environmentalists are all you know, probably had like Greta

591
00:32:01,440 --> 00:32:04,120
Speaker 1: Thunberg chaining herself to the wall or chaining herself defence

592
00:32:04,240 --> 00:32:08,200
Speaker 1: or something. You know, how dare you? And and they

593
00:32:08,480 --> 00:32:10,560
Speaker 1: decided what they had to do this this is real,

594
00:32:11,160 --> 00:32:13,000
Speaker 1: is create This is what the guy told me. Okay,

595
00:32:13,040 --> 00:32:15,080
Speaker 1: all it's all. This is a senior military officer telling

596
00:32:15,080 --> 00:32:16,480
Speaker 1: me what they had to do with this space. They

597
00:32:16,520 --> 00:32:21,080
Speaker 1: had to create a kind of a low netting for

598
00:32:21,360 --> 00:32:23,720
Speaker 1: I think it was a few miles on the entryway

599
00:32:23,720 --> 00:32:29,840
Speaker 1: into the space to keep the desert tortoise from coming

600
00:32:29,840 --> 00:32:32,120
Speaker 1: down the road and getting turned into turtle soup by

601
00:32:32,240 --> 00:32:34,959
Speaker 1: you know, the military vehicles going by at high speeds,

602
00:32:35,000 --> 00:32:37,480
Speaker 1: right you might think, okay, happy ending, but you know what,

603
00:32:37,520 --> 00:32:40,800
Speaker 1: this is the problem. Tortoises, as you may know, not

604
00:32:40,960 --> 00:32:44,360
Speaker 1: very agile, right, and so they would get stuck in

605
00:32:44,400 --> 00:32:48,440
Speaker 1: this little fencing and then they would be easy, easy

606
00:32:48,480 --> 00:32:56,280
Speaker 1: pickings for the buzzards and other predatory birds because they

607
00:32:56,280 --> 00:32:58,160
Speaker 1: were stuck there and they couldn't move and they would

608
00:32:58,160 --> 00:33:01,720
Speaker 1: just get eaten. So they had to build little underpasses

609
00:33:02,560 --> 00:33:05,200
Speaker 1: in the fence. And I think this call I don't

610
00:33:05,200 --> 00:33:06,840
Speaker 1: want to. I forget. This is a long time ago.

611
00:33:06,920 --> 00:33:09,000
Speaker 1: I think they said this cost like all in with

612
00:33:09,040 --> 00:33:11,520
Speaker 1: all the environmental studies, like forty million dollars or something,

613
00:33:11,760 --> 00:33:16,480
Speaker 1: some crazy amount of money so that the tortoises wouldn't

614
00:33:16,520 --> 00:33:19,520
Speaker 1: get stuck in the road and eaten by the buzzards.

615
00:33:20,440 --> 00:33:23,320
Speaker 1: Welcome to the United States Military of the federal government, everybody.

616
00:33:23,320 --> 00:33:25,560
Speaker 1: It was pretty it was pretty remarkable stuff. I gotta say.

617
00:33:25,600 --> 00:33:27,760
Speaker 1: I was like, wow, occasionally I get to learn cool

618
00:33:27,800 --> 00:33:30,959
Speaker 1: stuff at the CIA. You know, there's still a lot

619
00:33:30,960 --> 00:33:33,320
Speaker 1: of crime in the country. Democrats are realizing maybe they

620
00:33:33,320 --> 00:33:36,880
Speaker 1: shouldn't be pro crime. Too late for that, but you

621
00:33:36,960 --> 00:33:38,480
Speaker 1: got to take action now, especially if you live in

622
00:33:38,520 --> 00:33:42,360
Speaker 1: a Democrat city district. Attorneys who favor law and order

623
00:33:42,480 --> 00:33:45,800
Speaker 1: maybe coming into office in some places, but to process

624
00:33:46,240 --> 00:33:49,440
Speaker 1: and you are your first and most important line of

625
00:33:49,720 --> 00:33:53,960
Speaker 1: defense of self defense. That's where Saber comes in. Saber's

626
00:33:54,000 --> 00:33:57,520
Speaker 1: pepper projectile launcher is the only sixty eight caliber launcher

627
00:33:58,160 --> 00:34:01,600
Speaker 1: with a seven projectile capacity offering up to forty percent

628
00:34:01,680 --> 00:34:04,479
Speaker 1: more shots and other brands for superior home defense. Creates

629
00:34:04,520 --> 00:34:06,960
Speaker 1: a six foot pepper cloud, giving you and your family

630
00:34:07,000 --> 00:34:09,759
Speaker 1: precious extra time. It's non lethal, which is great for

631
00:34:09,760 --> 00:34:13,040
Speaker 1: people who are nervous around firearms. For nearly fifty years,

632
00:34:13,080 --> 00:34:15,600
Speaker 1: Saber has been dedicated to making the world safer. Look,

633
00:34:15,600 --> 00:34:17,120
Speaker 1: I've got Saber here at home, and I got a

634
00:34:17,120 --> 00:34:19,520
Speaker 1: ton of guns, but I like to have both the

635
00:34:19,600 --> 00:34:23,560
Speaker 1: lethal and non lethal options for home and self defense.

636
00:34:24,040 --> 00:34:26,120
Speaker 1: This is an add on for most people that I know.

637
00:34:26,160 --> 00:34:27,839
Speaker 1: So they let's say they've got the firearms at home,

638
00:34:28,000 --> 00:34:30,719
Speaker 1: they want to add the non lethal component and they've

639
00:34:30,719 --> 00:34:33,160
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Speaker 4: News you can count on and some laughs too. Clay

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Speaker 4: Travis at Bucks. Find them on the free iHeartRadio app

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Speaker 4: or wherever you get your podcasts.

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Speaker 1: Welcome back in. Let's take a call here from Joe

661
00:35:29,480 --> 00:35:33,640
Speaker 1: in Looking Glass Ore again has a thought for Trump cabinet? Joe,

662
00:35:33,680 --> 00:35:34,840
Speaker 1: what have you got for us?

663
00:35:35,239 --> 00:35:35,479
Speaker 4: Hey?

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00:35:35,840 --> 00:35:37,000
Speaker 1: How are you guys doing?

665
00:35:37,280 --> 00:35:39,600
Speaker 5: At least he's not there yet.

666
00:35:40,640 --> 00:35:42,759
Speaker 1: Clay will be back Monday. Don't worry. He misses you all.

667
00:35:42,800 --> 00:35:47,279
Speaker 5: Though I'm sure he does. I have a thought for

668
00:35:48,040 --> 00:35:51,680
Speaker 5: FBI director, how about General Mike Flynn.

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00:35:53,840 --> 00:35:56,160
Speaker 1: I think that would be that could be great. Uh.

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00:35:56,280 --> 00:35:59,239
Speaker 1: I'll tell you for me if I get to have

671
00:35:59,440 --> 00:36:02,960
Speaker 1: my you know, my pick forwarded to Trump right now

672
00:36:03,000 --> 00:36:06,959
Speaker 1: for FBI director. I like Cash Ptel for that job.

673
00:36:07,719 --> 00:36:10,560
Speaker 1: I think Cash would be really good, but General Flynn

674
00:36:10,560 --> 00:36:12,399
Speaker 1: would see this is the thing. General Flynn would be great.

675
00:36:12,880 --> 00:36:16,759
Speaker 1: There are much There are far more people for these

676
00:36:16,880 --> 00:36:20,000
Speaker 1: roles who check all the boxes than there are roles

677
00:36:20,040 --> 00:36:23,040
Speaker 1: at this level. So totally take your suggestion on and

678
00:36:23,239 --> 00:36:25,560
Speaker 1: I think your point is very well taken, Joe, that

679
00:36:26,040 --> 00:36:29,640
Speaker 1: General Flynn was targeted by the FBI under the Logan Act.

680
00:36:30,680 --> 00:36:33,160
Speaker 1: Any FBI agent who had anything to do with trying

681
00:36:33,160 --> 00:36:36,120
Speaker 1: to entrap the National Security Advisor based on the Logan

682
00:36:36,160 --> 00:36:39,120
Speaker 1: Act should be fired. And with the dj who had

683
00:36:39,120 --> 00:36:41,680
Speaker 1: anything to do with in trapping General Flynn under the

684
00:36:41,680 --> 00:36:46,279
Speaker 1: Logan Act, fired, fired, fired, fired, kind of like what

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00:36:46,320 --> 00:36:47,080
Speaker 1: Trump used to say,